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The Journal of The Textile Institute Volume 109, 2018 - Issue 5
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Articles

A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part I: continuous segmentation of warp yarns

Jie ZhangInstitute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, ChinaORCID Iconhttp://orcid.org/0000-0001-8219-5590
ORCID Icon,
Jingan WangKey Laboratory of Eco-textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, China
,
Ruru PanKey Laboratory of Eco-textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, ChinaCorrespondence[email protected]
,
Jian ZhouKey Laboratory of Eco-textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, China
&
Weidong GaoKey Laboratory of Eco-textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, China
Pages 577-584 | Received 15 Feb 2017, Accepted 25 Jul 2017, Published online: 06 Aug 2017

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Read on this site (3)

Ning Zhang, Ruru Pan, Lei Wang, Yang Wu & Weidong Gao. (2020) Pattern design and optimization of yarn-dyed plaid fabric using modified interactive genetic algorithm. The Journal of The Textile Institute 111:11, pages 1652-1661.
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Jingan Wang, Jie Zhang, Lei Wang, Ruru Pan, Jian Zhou & Weidong Gao. (2020) A computer vision-based system for automatic detection of misarranged color warp yarns in yarn-dyed fabric. Part III: yarn layout proofing. The Journal of The Textile Institute 111:11, pages 1614-1622.
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Jie Zhang, Jingan Wang & Ruru Pan. (2019) A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part II: warp region segmentation. The Journal of The Textile Institute 110:9, pages 1359-1367.
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Articles from other publishers (7)

Marek Idzik. (2023) Application of Spectral Analysis in Spinning Measurements. AUTEX Research Journal 23:3, pages 395-402.
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Jie Zhang, Pengpeng Yao, Hochung Wu & John H. Xin. (2022) Automatic color pattern recognition of multispectral printed fabric images. Journal of Intelligent Manufacturing 34:6, pages 2747-2763.
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T. Meeradevi, S. Sasikala, S. Gomathi & K. Prabakaran. (2022) An analytical survey of textile fabric defect and shade variation detection system using image processing. Multimedia Tools and Applications 82:4, pages 6167-6196.
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Shuo Meng, Ruru Pan, Weidong Gao, Benchao Yan & Yangyang Peng. (2022) Automatic recognition of woven fabric structural parameters: a review. Artificial Intelligence Review 55:8, pages 6345-6387.
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Marcin Idzik & Marek Idzik. (2022) Image Analysis as a Method of the Assessment of Yarn for Making Flat Textile Fabrics. Autex Research Journal 22:2, pages 201-207.
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Aqsa Rasheed, Bushra Zafar, Amina Rasheed, Nouman Ali, Muhammad Sajid, Saadat Hanif Dar, Usman Habib, Tehmina Shehryar & Muhammad Tariq Mahmood. (2020) Fabric Defect Detection Using Computer Vision Techniques: A Comprehensive Review. Mathematical Problems in Engineering 2020, pages 1-24.
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Jing Wu, Ping Zhong, Jiayao Ling, Zhisong Li, Xin Tang, Shu Su & Tianbao Zhai. (2019) Design Method of Fabric Density Sensor Based on the Virtual Grating With Gradual Constant. IEEE Access 7, pages 160345-160362.
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